Instructions to use Sreenath/sqlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sreenath/sqlm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Sreenath/sqlm") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Sreenath/sqlm: direct link, hf CLI and curl.
- Browser
- Download file 109 MB
-
https://huggingface.co/Sreenath/sqlm/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Sreenath/sqlm/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Sreenath/sqlm/resolve/main/adapter_model.safetensors
109 MB
- Xet hash:
- 2fce6310ddd02ec78dccbb6c94e5b42b2fde0b2013015da98abe2bee74ea31eb
- Size of remote file:
- 109 MB
- SHA256:
- 266117e8fba3c0e610153ec96871fe275d76e576176b2dfeed5838188dde0cc1
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